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algorand-project-setup

Scaffolds Algorand projects using AlgoKit CLI, manages LocalNet, and retrieves code examples from official GitHub repositories. Use when initializing projects with algokit init, running build/test/deploy commands, starting or resetting LocalNet, or searching for Algorand contract

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Preis unbestätigt★ 33 GitHub-StarsVerzeichnis aktualisiert · 11. Sept. 2026agent-skill

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AlgoKit Project Setup & Examples

Quick Start

# Install AlgoKit
pipx install algokit

# Create a fullstack project — smart contracts + React frontend (default)
algokit init -n my-project -t fullstack --answer preset_name production --answer contract_template typescript --defaults

# Development cycle
cd my-project
algokit project run build    # Compile contracts
algokit project run test     # Run tests
algokit localnet start       # Start local network
algokit project deploy localnet  # Deploy

Reference Guide

Creating Projects

Initialize new Algorand projects using AlgoKit templates and presets.

project-templates.md — Templates, presets, CLI flags, and customization options

CLI Commands

Build, test, deploy, and manage LocalNet with AlgoKit CLI.

cli-commands.md — Full CLI command reference and workflow

Searching Examples

Find working contract examples from Algorand Foundation repositories using GitHub tools.

github-search-tools.md — GitHub MCP tools, priority repos, search patterns

Important Rules

Always confirm with user before running algokit init
Default to fullstack template (-t fullstack) with TypeScript contracts and production preset — MUST pass --answer contract_template typescript since the default is Python
Always build before testing — tests use generated clients
Search algorandfoundation repos first — official, vetted examples

Canonical Example Repos

Repository	Best For
`algorandfoundation/devportal-code-examples`	Beginner-friendly contract examples (TypeScript + Python)
`algorandfoundation/puya-ts`	Advanced TypeScript contract examples
`algorandfoundation/puya`	Advanced Python contract examples
`algorandfoundation/algokit-fullstack-template`	Fullstack project template (contracts + React)

Always fetch corresponding test files alongside contract examples.

Cross-References

algorand-core — AVM mental model, transaction types, protocol concepts
algorand-typescript / algorand-python — Contract development syntax and patterns
algorand-frontend — React frontend integration and wallet connection

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Dateimetadaten

name: algorand-project-setup
description: Scaffolds Algorand projects using AlgoKit CLI, manages LocalNet, and retrieves code examples from official GitHub repositories. Use when initializing projects with algokit init, running build/test/deploy commands, starting or resetting LocalNet, or searching for Algorand contract examples and patterns.

Originaltext anzeigen

---
name: algorand-project-setup
description: Scaffolds Algorand projects using AlgoKit CLI, manages LocalNet, and retrieves code examples from official GitHub repositories. Use when initializing projects with algokit init, running build/test/deploy commands, starting or resetting LocalNet, or searching for Algorand contract examples and patterns.
---

# AlgoKit Project Setup & Examples

## Quick Start

```bash
# Install AlgoKit
pipx install algokit

# Create a fullstack project — smart contracts + React frontend (default)
algokit init -n my-project -t fullstack --answer preset_name production --answer contract_template typescript --defaults

# Development cycle
cd my-project
algokit project run build    # Compile contracts
algokit project run test     # Run tests
algokit localnet start       # Start local network
algokit project deploy localnet  # Deploy
```

## Reference Guide

### Creating Projects

Initialize new Algorand projects using AlgoKit templates and presets.

- [project-templates.md](./references/project-templates.md) — Templates, presets, CLI flags, and customization options

### CLI Commands

Build, test, deploy, and manage LocalNet with AlgoKit CLI.

- [cli-commands.md](./references/cli-commands.md) — Full CLI command reference and workflow

### Searching Examples

Find working contract examples from Algorand Foundation repositories using GitHub tools.

- [github-search-tools.md](./references/github-search-tools.md) — GitHub MCP tools, priority repos, search patterns

## Important Rules

- **Always confirm with user** before running `algokit init`
- **Default to fullstack template (`-t fullstack`)** with TypeScript contracts and production preset — **MUST** pass `--answer contract_template typescript` since the default is Python
- **Always build before testing** — tests use generated clients
- **Search algorandfoundation repos first** — official, vetted examples

## Canonical Example Repos

| Repository | Best For |
|------------|----------|
| `algorandfoundation/devportal-code-examples` | Beginner-friendly contract examples (TypeScript + Python) |
| `algorandfoundation/puya-ts` | Advanced TypeScript contract examples |
| `algorandfoundation/puya` | Advanced Python contract examples |
| `algorandfoundation/algokit-fullstack-template` | Fullstack project template (contracts + React) |

Always fetch corresponding test files alongside contract examples.

## Cross-References

- **`algorand-core`** — AVM mental model, transaction types, protocol concepts
- **`algorand-typescript`** / **`algorand-python`** — Contract development syntax and patterns
- **`algorand-frontend`** — React frontend integration and wallet connection

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Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: shell or command execution, filesystem or document access
GitHub adoption: 33 GitHub stars
Stars/forks activity: 33 stars, 16 forks; issue activity unavailable in current metadata
Permission surface: shell or command execution, filesystem or document access

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: algorand-devrel/algorand-agent-skills
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 9. Sept. 2026
Verzeichnis aktualisiert: 11. Sept. 2026
Anleitungspfad: skills/algorand-project-setup/SKILL.md @ 12acef71771c

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

54/100

Prüfung nötig

Vertrauen

63/100

Nur Sandbox

Audit

71/100

Riskant

Vollständiges Audit öffnen Eval-Bericht ansehen

Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Low GitHub adoption signal
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: shell or command execution, filesystem or document access
GitHub adoption: 33 GitHub stars
Stars/forks activity: 33 stars, 16 forks; issue activity unavailable in current metadata
Permission surface: shell or command execution, filesystem or document access

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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Ersteller: algorand-devrel
Quelle: algorand-devrel/algorand-agent-skills
Indexiert von: OpenAgentSkill Community-Index

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Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/algorand-devrel-algorand-project-setup?metric=listed&label=Listed)](https://www.openagentskill.com/skills/algorand-devrel-algorand-project-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/algorand-devrel-algorand-project-setup?metric=trust&label=Trust)](https://www.openagentskill.com/skills/algorand-devrel-algorand-project-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/algorand-devrel-algorand-project-setup?metric=audit&label=Audit)](https://www.openagentskill.com/skills/algorand-devrel-algorand-project-setup/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/algorand-devrel-algorand-project-setup?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/algorand-devrel-algorand-project-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Badge-Vorschau Audit öffnen Creator-Kit

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.